Flandin, G;
Friston, KJ;
(2008)
Statistical parametric mapping (SPM).
Scholarpedia
, 3
(4)
, Article 6232. 10.4249/scholarpedia.6232.
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Abstract
Statistical parametric mapping is the application of Random Field Theory to make inferences about the topological features of statistical processes that are continuous functions of space or time. It is usually used to identify regionally specific effects (e.g., brain activations) in neuroimaging data to characterize functional anatomy and disease-related changes.
| Type: | Article |
|---|---|
| Title: | Statistical parametric mapping (SPM) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.4249/scholarpedia.6232 |
| Publisher version: | http://dx.doi.org/10.4249/scholarpedia.6232 |
| Language: | English |
| Additional information: | "Statistical parametric mapping (SPM)" by Guillaume Flandin and Karl J. Friston is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US). Permissions beyond the scope of this license are described in the Terms of Use (http://www.scholarpedia.org/article/Scholarpedia:Terms_of_use). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1305044 |
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